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ci/official/containers/linux_arm64/devel.usertools/aarch64.bazelrc
test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal.
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tensorflow/c/experimental/gradients/nn_grad_test.cc
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tensorflow/c/eager/c_api_unified_experimental_test.cc
TF_DeleteExecutionContext(graph_ctx); } // The above tests are run for a combination of: // - graphdef and MLIR tracing engine INSTANTIATE_TEST_SUITE_P(Tracing, UnifiedCAPI, ::testing::Combine(::testing::Values("graphdef", "mlir"),
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tensorflow/c/c_api_test.cc
TF_TString* data = static_cast<TF_TString*>(TF_TensorData(t)); for (int i = 0; i < batch_size; ++i) { TF_TString_Init(&data[i]); // The following input string length is large enough to make sure that // copy to tstring in large mode. std::string source = "This is the " + std::to_string(i + 1) + "th. data element\n"; TF_TString_Copy(&data[i], source.c_str(), source.length()); }
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ci/official/containers/linux_arm64/devel.usertools/aarch64_clang.bazelrc
test --test_timeout=500,900,-1,-1 # Give only the list of failed tests at the end of the log test --test_summary=short # "nonpip" tests are regular py_test tests. # Pass --config=nonpip to run the same suite of tests. If you want to run just # one test for investigation, you don't need --config=nonpip; just run the # bazel test invocation as normal.
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tensorflow/api_template.__init__.py
from tensorflow.python.util.lazy_loader import KerasLazyLoader as _KerasLazyLoader # Make sure code inside the TensorFlow codebase can use tf2.enabled() at import. _os.environ["TF2_BEHAVIOR"] = "1" from tensorflow.python import tf2 as _tf2 _tf2.enable() # API IMPORTS PLACEHOLDER # WRAPPER_PLACEHOLDER # Make sure directory containing top level submodules is in # the __path__ so that "from tensorflow.foo import bar" works.
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tensorflow/c/experimental/gradients/array_grad_test.cc
outputs[1]->Unref(); } #ifdef PLATFORM_GOOGLE INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients, ::testing::Combine(::testing::Values("graphdef", "mlir"), /*tfrt*/ ::testing::Values(false), /*use_function*/ ::testing::Values(true, false))); #else INSTANTIATE_TEST_SUITE_P( UnifiedCAPI, CppGradients,
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CONTRIBUTING.md
# Contributing guidelines ## Pull Request Checklist Before sending your pull requests, make sure you do the following: - Read the [contributing guidelines](CONTRIBUTING.md). - Read the [Code of Conduct](CODE_OF_CONDUCT.md). - Ensure you have signed the [Contributor License Agreement (CLA)](https://cla.developers.google.com/). - Check if your changes are consistent with the
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tensorflow/api_template_v1.__init__.py
* https://www.tensorflow.org/guide/migrate Or install the latest stable TensorFlow 1.X release: * `pip install -U "tensorflow==1.*"` Otherwise your code may be broken by the change. """) # Make sure directory containing top level submodules is in # the __path__ so that "from tensorflow.foo import bar" works. # We're using bitwise, but there's nothing special about that.
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.github/bot_config.yml
* For TF-CPU - See point 2 ----------------------------------------------------------------------------------------------- **1. Installing **TensorFlow-GPU** (TF) prebuilt binaries** Make sure you are using compatible TF and CUDA versions. Please refer following TF version and CUDA version compatibility table. | TF | CUDA | | :-------------: | :-------------: | | 2.5.0 | 11.2 |
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